where \(\mathbf {r}\)  are rates of precipitation, \(x,y,t\)  are the location and target time of the forecast, \(t_0\)  is the time at which the forecast is made and \(L = t-t_0\)  is the lead time of the forecast. MetNet-2 bins the precipitation rates into 512 categories that allow the model to forecast arbitrary discrete probability distributions [1]}.
